| Literature DB >> 30963915 |
María J Tolsá1,2, Gabriel E García-Peña2,3, Oscar Rico-Chávez2, Benjamin Roche2,4,5, Gerardo Suzán2.
Abstract
Zoonotic diseases transmitted by wildlife affect biological conservation, public and animal health, and the economy. Current research efforts are aimed at finding wildlife pathogens at a given location. However, a meta-analytical approach may reveal emerging macroecological patterns in the host-pathogen relationship at different temporal and spatial scales. West Nile virus (WNV) is a pathogen with worldwide detrimental impacts on bird populations. To understand macroecological patterns driving WNV infection, we aimed to recognize unknown competent reservoirs using three disease metrics-serological prevalence (SP), molecular prevalence (MP) and mortality (M)-and test if these metrics are correlated with the evolutionary history, geographical origin of bird species, viral strain, time-space and methodology. We performed a quantitative review of field studies on birds sampled for WNV. We obtained 4945 observations of 949 species from 39 countries. Our analysis supported the idea that MP and M are good predictors of reservoir competence, and allowed us to identify potential competent reservoirs. Furthermore, results indicated that the variability of these metrics was attributable to phylogeny, time-space and sample size. A macroecological approach is needed to recognize susceptible species and competent reservoirs, and to identify other factors driving zoonotic diseases originating from wildlife.Entities:
Keywords: West Nile Virus; birds; macroecology; reservoir competence index; susceptibility
Mesh:
Year: 2018 PMID: 30963915 PMCID: PMC6304048 DOI: 10.1098/rspb.2018.2178
Source DB: PubMed Journal: Proc Biol Sci ISSN: 0962-8452 Impact factor: 5.349